Cargando…

Machine learning is the key to diagnose COVID-19: a proof-of-concept study

The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides false negative results that can be rectified by clinicians by confronting clinical, biological and imaging data. The combination...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gangloff, Cedric, Rafi, Sonia, Bouzillé, Guillaume, Soulat, Louis, Cuggia, Marc
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009887/ https://www.ncbi.nlm.nih.gov/pubmed/33785852 http://dx.doi.org/10.1038/s41598-021-86735-9

Ejemplares similares

Author Correction: Machine learning is the key to diagnose COVID-19: a proof-of-concept study
por: Gangloff, Cedric, et al.
Publicado: (2021)

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study
por: Poirier, Canelle, et al.
Publicado: (2018)

Diagnosing Hemophagocytic Lymphohistiocytosis with Machine Learning: A Proof of Concept
por: El Jammal, Thomas, et al.
Publicado: (2022)

Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach
por: Poirier, Canelle, et al.
Publicado: (2021)

Drug–Drug Interactions in Elderly Patients with Potentially Inappropriate Medications in Primary Care, Nursing Home and Hospital Settings: A Systematic Review and a Preliminary Study
por: Bories, Mathilde, et al.
Publicado: (2021)

Drug–Drug Interactions with Oral Anticoagulants as Potentially Inappropriate Medications: Prevalence and Outcomes in Elderly Patients in Primary Care and Hospital Settings
por: Bories, Mathilde, et al.
Publicado: (2022)

Clinical Data Analytics With Time-Related Graphical User Interfaces: Application to Pharmacovigilance
por: Ledieu, Thibault, et al.
Publicado: (2018)

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study
por: Poirier, Canelle, et al.
Publicado: (2023)

Machine Learning to Analyze Single-Case Data: A Proof of Concept
por: Lanovaz, Marc J., et al.
Publicado: (2020)

Combining information from a clinical data warehouse and a pharmaceutical database to generate a framework to detect comorbidities in electronic health records
por: Sylvestre, Emmanuelle, et al.
Publicado: (2018)

A proof of concept study for machine learning application to stenosis detection
por: Jones, Gareth, et al.
Publicado: (2021)

Predicting benzodiazepine prescriptions: A proof-of-concept machine learning approach
por: Kinney, Kerry L., et al.
Publicado: (2023)

Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
por: Sylvestre, Emmanuelle, et al.
Publicado: (2022)

Timeline representation of clinical data: usability and added value for pharmacovigilance
por: Ledieu, Thibault, et al.
Publicado: (2018)

Proof of concept and development of a couple-based machine learning model to stratify infertile patients with idiopathic infertility
por: Bachelot, Guillaume, et al.
Publicado: (2021)

Machine learning methods to predict child posttraumatic stress: a proof of concept study
por: Saxe, Glenn N., et al.
Publicado: (2017)

A proof of concept for machine learning-based virtual knapping using neural networks
por: Orellana Figueroa, Jordy Didier, et al.
Publicado: (2021)

Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study
por: Bandari, Ela, et al.
Publicado: (2022)

Machine learning used for simulation of MitraClip intervention: A proof-of-concept study
por: Dabiri, Yaghoub, et al.
Publicado: (2023)

Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning
por: Shen, Zhongxia, et al.
Publicado: (2022)

Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature
por: Gentil, Marie-Line, et al.
Publicado: (2017)

Breast Cancer Diagnosis Using Extended-Wavelength–Diffuse Reflectance Spectroscopy (EW-DRS)—Proof of Concept in Ex Vivo Breast Specimens Using Machine Learning
por: Chaudhry, Nadia, et al.
Publicado: (2023)

Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept
por: Tran, Nam K., et al.
Publicado: (2020)

Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study
por: Soffer, Shelly, et al.
Publicado: (2022)

Proof of concept: liver splitting during normothermic machine perfusion
por: Stephenson, Barney T F, et al.
Publicado: (2018)

The Role of Heterogenous Real-world Data for Dengue Surveillance in Martinique: Observational Retrospective Study
por: Sylvestre, Emmanuelle, et al.
Publicado: (2022)

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept
por: Tran, Nam K., et al.
Publicado: (2021)

Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept Study
por: Agibetov, Asan, et al.
Publicado: (2020)

Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case
por: Bannay, Aurélie, et al.
Publicado: (2021)

Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study
por: Lamer, Antoine, et al.
Publicado: (2022)

Evaluating machine learning models: a beginner's guide to key concepts and pitfalls
por: Zheng, Alice
Publicado: (2015)

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges
por: Okada, Yohei, et al.
Publicado: (2023)

2063. Using Twitter Data and Machine Learning to Identify Outpatient Antibiotic Misuse: A Proof-of-Concept Study
por: Sullivan, Timothy
Publicado: (2019)

Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach
por: Lannon, Edward, et al.
Publicado: (2021)

A proof-of-concept study on mortality prediction with machine learning algorithms using burn intensive care data
por: Fransén, Jian, et al.
Publicado: (2022)

Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study
por: Coratti, Giorgia, et al.
Publicado: (2022)

Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
por: Deneuve, Sophie, et al.
Publicado: (2021)

Deep learning to diagnose left ventricular hypertrophy from standard, 12-lead ECG signals: a proof-of-concept study
por: Pantelidis, P, et al.
Publicado: (2023)

Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
por: Babiano-Suárez, V., et al.
Publicado: (2020)

A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study
por: Horimasu, Yasushi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6pg7nnhpoug72s61h1eeo98mbi